Development and validation of a machine learning model to predict imminent new vertebral fractures after vertebral augmentation
Abstract Background Accurately predicting the occurrence of imminent new vertebral fractures (NVFs) in patients with osteoporotic vertebral compression fractures (OVCFs) undergoing vertebral augmentation (VA) is challenging with yet no effective approach. This study aim to examine a machine learning...
Main Authors: | Yang Jiang, Jinhui Cai, Yurong Zeng, Haoyi Ye, Tingqian Yang, Zhifeng Liu, Qingyu Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-06-01
|
Series: | BMC Musculoskeletal Disorders |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12891-023-06557-w |
Similar Items
-
Preoperative Prediction of New Vertebral Fractures after Vertebral Augmentation with a Radiomics Nomogram
by: Yang Jiang, et al.
Published: (2023-11-01) -
Development and validation of a nomogram for predicting the probability of new vertebral compression fractures after vertebral augmentation of osteoporotic vertebral compression fractures
by: Qiujiang Li, et al.
Published: (2021-11-01) -
Risk of Revision After Vertebral Augmentation for Osteoporotic Vertebral Fracture: A Narrative Review
by: Shinji Takahashi, et al.
Published: (2023-09-01) -
Initial clinical experience with a novel vertebral augmentation system for treatment of symptomatic vertebral compression fractures: A case series of 26 consecutive patients
by: Miller Larry E, et al.
Published: (2011-09-01) -
Preoperative prediction of residual back pain after vertebral augmentation for osteoporotic vertebral compression fractures: Initial application of a radiomics score based nomogram
by: Chen Ge, et al.
Published: (2022-12-01)